利用数据包络分析对马来西亚森美兰州孕产妇保健服务的技术效率进行评估

Arinah W.D.S., M. H. Juni, Lim Poh Ying, J. Ghani, Fakarudin Kamarudin
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引用次数: 5

摘要

初级保健是与卫生系统接触的第一级,以促进健康、预防疾病、治疗常见疾病和管理持续存在的卫生问题。产妇保健服务是通过保健诊所和社区诊所提供的初级保健的重要组成部分之一。确保卫生诊所稀缺资源的有效利用至关重要。数据包络分析是一种具有优势的初级保健效率评估技术,因为它可以处理多个输入和输出的效率评分计算。目的:利用数据包络分析(DEA)评估森美兰州卫生诊所初级保健环境中孕产妇保健服务的技术效率及其决定因素。方法:本评估研究采用横断面研究设计,使用来自森美兰州卫生区办事处和卫生诊所的原始数据。数据来源包括来自地区卫生办公室的行政记录和支出记录,以及来自诊所记录的孕产妇保健服务利用情况。本研究随机选取16家卫生诊所的产妇保健服务机构作为dmu。分析中使用了2016年和2017年的数据。DEA分析采用两阶段DEA。在第一阶段DEA对效率进行评分,即:总技术效率(OTE)、纯技术效率(PTE)和规模效率(SE)得分。第二阶段采用Tobit回归分析,将卫生所所在位置、卫生所与最近的卫生机构的距离、护士服务年限和患者合并症4个环境变量与PTE评分进行回归。结果:2016年孕产妇保健服务的平均纯技术效率(PTE)为60.50% (SD为35.50)。2017年孕产妇保健服务的平均PTE增加,得分为67.30% (SD 34.30)。2016年,二类卫生诊所的孕产妇保健服务效率高于其他类型卫生诊所。2017年,6类卫生诊所孕产妇保健服务高效。发现一个决定因素显著影响TE(患者的合并症)。结论:本研究发现,2016年和2017年森美兰州技术高效的孕产妇保健服务分别为5型诊所(31.25%)和6型诊所(37.50%)。合并症较多的患者显著降低了孕产妇保健服务的技术效率。关键词:技术效率,孕产妇保健,初级保健服务,卫生诊所,数据包络分析
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TECHNICAL EFFICIENCY ASSESSMENT OF MATERNAL HEALTH SERVICES IN NEGERI SEMBILAN, MALAYSIA USING DATA ENVELOPMENT ANALYSIS
Introduction : Primary care is the first level of contact with the health system to promote health, prevent illness, care for common illnesses, and manage on-going health problems. Maternal health services were one of the important components of primary care delivered through health clinics and community clinics. It is crucial to ensure scarce resources in health clinic were utilized efficiently. Data envelop analysis is a technique which had advantage in assessment of efficiency of primary care because the technique can handle multiple inputs and outputs in efficiency score calculation.  Objectives: To assess technical efficiency of maternal health services and it determinants in primary care setting of health clinics in Negeri Sembilan using data envelopment analysis (DEA). Methodology: This e valuation research employing cross-sectional study design using primary data from health district offices and health clinics in Negeri Sembilan. Sources of data includes administrative records and expenditure records from district health offices, and maternal health services utilization obtained from clinic records. The study randomly selected 16 maternal health services of health clinics as DMUs. Data for 2016 and 2017 were used in the analysis. Analysis of DEA used two-stage DEA. In the first stage DEA to efficiency score, namely: overall technical efficiency (OTE), pure technical efficiency (PTE) and scale efficiency (SE) scores.  In the second stage, four environmental variables namely location of health clinic, distance of health clinic to the nearest health facility, years of service of nurses and comorbidity of patient regressed against PTE score using Tobit regression analysis. Results: In 2016, average pure technical efficiency (PTE) for maternal health services were 60.50% (SD 35.50). An increased in mean PTE in 2017 for maternal health services with the score of 67.30% (SD 34.30). Maternal health services in type 2 health clinic were efficient as compared with other types of health clinic in 2016. In 2017, maternal health services in health clinic type 6 were efficient. One determinant was found to significantly affect TE (comorbidity of patient). Conclusion: The findings from this study found that technical efficient maternal health services in Negeri Sembilan were in Health Clinic Type 5 (31.25%) and Health Clinic Type 6 (37.50%) in 2016 and 2017 respectively. Patients with more comorbidity significantly decrease technical efficiency of maternal health services. Keywords : technical efficiency, maternal health, primary care service, health clinic, data envelopment analysis.
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